Lecture on Google Gemini 2.0 and AI Automation with Vector Shift

Introduction to Google Gemini 2.0 Models

Release of Gemini 2.0 Model Series
- Developed specifically for AI agent use cases
- Marketed as tools for creating AI agents and automation
Models in the Gemini 2.0 Family
- 2.0 Pro: Experimental, best for coding and handling complex prompts
- 2.0 Flash: Fast, powerful, optimized for genetic AI
- 2.0 Flash Thinking (Experimental): For enhanced reasoning and explainability
- 2.0 Flashlight: Most cost-efficient model
Features
- Multimodal support: Image generation, text-to-speech, tool use
- 2.0 Flash supports a 1 million token context window
- Free tier available, allowing free use of models

Vector Shift Platform
- An all-in-one AI platform for building AI apps and automations
- Offers a drag-and-drop interface
- Free to use

Account Setup
- Visit Vector Shift’s site, click on 'Get Started'
- Options to log in or create an account using email, Google, or GitHub
Main Dashboard
- Manage automations, chat bots, and more
- Left panel: Manage knowledge, files, creation interface
- Analyze agent performance

Pipeline Creation
- Create from scratch or use ready-made templates
- Example: Creating an AI agent for lead classification

Use Case
- Automate extracting contact information about law firms across cities
Steps to Create Workflow
- Create a new pipeline in Vector Shift
- Use Google Sheets integration to handle data
- Configure it to read from a pre-created Google Sheet
Sub-Pipeline
- Analyze URLs, fill in fields in Google Sheet
- Use URL web scraping
- Power with Gemini 2.0 Flash model
- Output results to Google Sheet

Deployment
- Deploy changes and test by running the pipeline
Expected Outputs
- Automated extraction of law firm details
- Summarized data output in Google Sheets

Benefits
- Demonstrated practical application of AI automation
- Efficiency in processing and managing large datasets
Recommendations
- Try Vector Shift for creating varied AI agents
- Free to use and highly effective platform